{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a8cf17cd",
   "metadata": {},
   "source": [
    "# AidSDK部署-三十类水果-摄像头和视频-中文\n",
    "\n",
    "同济子豪兄 2023-6-25\n",
    "\n",
    "本代码在AidLux手机端运行"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52da8508",
   "metadata": {},
   "source": [
    "## 导入工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "23645b24",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import PIL\n",
    "from cvs import *\n",
    "import numpy as np\n",
    "from PIL import Image, ImageFont, ImageDraw\n",
    "import aidlite_gpu\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3e188da",
   "metadata": {},
   "source": [
    "## 载入中文字体"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f32f84fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import ImageFont, ImageDraw\n",
    "# 导入中文字体，指定字号\n",
    "font = ImageFont.truetype('SimHei.ttf', 32)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2b4e1b0",
   "metadata": {},
   "source": [
    "## 加载TFLite模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e178111d",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_path = 'resnet18_fruit30.tflite'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "aa27748a",
   "metadata": {},
   "outputs": [],
   "source": [
    "NUM_CLASS = 30 # 指定类别个数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c2defb07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-08-04 22:36:26,074225][/tmp/ipykernel_15177/2808051052.py:1 <module>][DEBUG]:=======init\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(id=1, result='load model ok!', error=None)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aidlite = aidlite_gpu.aidlite()\n",
    "\n",
    "# 模型路径 输入维度 输出维度 线程数 是否开启NNAPI\n",
    "# https://docs.aidlux.com/#/intro/ai/ai-aidlite?id=_4fast_annmodel\n",
    "aidlite.FAST_ANNModel(model_path, [256*256*3*4], [NUM_CLASS*4], 4, 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3601120f",
   "metadata": {},
   "source": [
    "## 载入类别名称与ID映射表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5b350580",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 中文类别名称\n",
    "idx_to_labels = np.load('idx_to_labels.npy', allow_pickle=True).item()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d2d24c6",
   "metadata": {},
   "source": [
    "## 初始化摄像头"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4f1e92d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 摄像头ID 0-后置 1-前置\n",
    "Camera_ID = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "426d2378",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('app runs on port:', 64536)\n",
      "open the cam:0 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception in thread Thread-4948:\n",
      "Traceback (most recent call last):\n",
      "  File \"/usr/lib/python3.7/threading.py\", line 917, in _bootstrap_inner\n",
      "    self.run()\n",
      "  File \"/usr/lib/python3.7/threading.py\", line 865, in run\n",
      "    self._target(*self._args, **self._kwargs)\n",
      "  File \"cvs.py\", line 184, in cvs.startcv\n",
      "  File \"/usr/local/lib/python3.7/dist-packages/remi/server.py\", line 925, in start\n",
      "    s = Server(main_gui_class, start=True, **kwargs)\n",
      "  File \"/usr/local/lib/python3.7/dist-packages/remi/server.py\", line 816, in __init__\n",
      "    self.start()\n",
      "  File \"/usr/local/lib/python3.7/dist-packages/remi/server.py\", line 834, in start\n",
      "    self, self._certfile, self._keyfile, self._ssl_version, *self._userdata)\n",
      "  File \"/usr/local/lib/python3.7/dist-packages/remi/server.py\", line 762, in __init__\n",
      "    HTTPServer.__init__(self, server_address, RequestHandlerClass)\n",
      "  File \"/usr/lib/python3.7/socketserver.py\", line 452, in __init__\n",
      "    self.server_bind()\n",
      "  File \"/usr/lib/python3.7/http/aid_server.py\", line 138, in server_bind\n",
      "    socketserver.TCPServer.server_bind(self)\n",
      "  File \"/usr/lib/python3.7/socketserver.py\", line 466, in server_bind\n",
      "    self.socket.bind(self.server_address)\n",
      "OSError: [Errno 98] Address already in use\n",
      "\n",
      "remi.server.ws   INFO     connection established: ('192.168.1.4', 51411)\n",
      "remi.server.ws   INFO     handshake complete\n"
     ]
    }
   ],
   "source": [
    "cap = cvs.VideoCapture(Camera_ID)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4915120",
   "metadata": {},
   "source": [
    "## 逐帧处理函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a252f2f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_frame(img_bgr):\n",
    "    \n",
    "    # 记录该帧开始处理的时间\n",
    "    start_time = time.time()\n",
    "    \n",
    "    ## 预处理\n",
    "    img_tensor = cv2.resize(img_bgr, (256, 256)) # 尺寸缩放\n",
    "    mean = (0.485, 0.456, 0.406) # 三通道的均值\n",
    "    std = (0.229, 0.224, 0.225) # 三通道的标准差\n",
    "    img_tensor = ((img_tensor / 255) - mean) / std\n",
    "    img_tensor = img_tensor.astype('float32')\n",
    "    \n",
    "    ## 推理预测\n",
    "    aidlite.setInput_Float32(img_tensor) # 装填数据\n",
    "    aidlite.invoke() # 推理预测\n",
    "    result = aidlite.getOutput_Float32() # 获得推理预测结果\n",
    "    \n",
    "    ## 解析预测结果\n",
    "    pred_id = np.argmax(result) # 置信度最高类别 ID\n",
    "    pred_class = idx_to_labels[pred_id] # 置信度最高类别名称\n",
    "    \n",
    "    ## 将预测中文类别写在图片上\n",
    "    img_rgb = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB) # BGR转RGB\n",
    "    img_pil = Image.fromarray(img_rgb) # array 转 PIL\n",
    "    draw = ImageDraw.Draw(img_pil)\n",
    "    draw.text((50, 150), pred_class, font=font, fill=(0, 0, 255, 1)) # 文字坐标，中文字符串，字体，rgba颜色\n",
    "    img_rgb = np.array(img_pil) # PIL 转 array\n",
    "    img_bgr = cv2.cvtColor(img_rgb, cv2.COLOR_RGB2BGR) # RGB 转 BGR\n",
    "    \n",
    "    # 记录该帧处理完毕的时间\n",
    "    end_time = time.time()\n",
    "    # 计算每秒处理图像帧数FPS\n",
    "    FPS = 1/(end_time - start_time)\n",
    "    # 在画面上写字：图片，字符串，左上角坐标，字体，字体大小，颜色，字体粗细\n",
    "    FPS_string = 'FPS {:.2f}'.format(FPS) # 写在画面上的字符串\n",
    "    img_output = cv2.putText(img_bgr, FPS_string, (50, 120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n",
    "    \n",
    "    return img_output"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34ce38a6",
   "metadata": {},
   "source": [
    "## 预测摄像头单帧画面"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0b9d4c0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "img_bgr = cap.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5ed38152",
   "metadata": {},
   "outputs": [],
   "source": [
    "img_bgr = process_frame(img_bgr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "10542eba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img_bgr[:,:,::-1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02653e7c",
   "metadata": {},
   "source": [
    "## 逐帧实时处理手机摄像头拍摄的画面-代码模板"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "563852a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "while True:\n",
    "    img_bgr = cap.read()\n",
    "    \n",
    "    if img_bgr is None:\n",
    "        continue\n",
    "        \n",
    "    img_bgr = process_frame(img_bgr)\n",
    "    \n",
    "    cvs.imshow(img_bgr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28b346e2",
   "metadata": {},
   "source": [
    "> 点击`重启kernel`关闭摄像头"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b9df846",
   "metadata": {},
   "source": [
    "## 视频逐帧处理（模板）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e887d68e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import time\n",
    "from tqdm import tqdm\n",
    "\n",
    "# 视频逐帧处理代码模板\n",
    "# 不需修改任何代码，只需定义process_frame函数即可\n",
    "# 同济子豪兄 2021-7-10\n",
    "\n",
    "def generate_video(input_path='videos/robot.mp4'):\n",
    "    filehead = input_path.split('/')[-1]\n",
    "    output_path = \"out-\" + filehead\n",
    "    \n",
    "    print('视频开始处理',input_path)\n",
    "    \n",
    "    # 获取视频总帧数\n",
    "    cap = cv2.VideoCapture(input_path)\n",
    "    frame_count = 0\n",
    "    while(cap.isOpened()):\n",
    "        success, frame = cap.read()\n",
    "        frame_count += 1\n",
    "        if not success:\n",
    "            break\n",
    "    cap.release()\n",
    "    print('视频总帧数为',frame_count)\n",
    "    \n",
    "    # cv2.namedWindow('Crack Detection and Measurement Video Processing')\n",
    "    cap = cv2.VideoCapture(input_path)\n",
    "    frame_size = (cap.get(cv2.CAP_PROP_FRAME_WIDTH), cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
    "\n",
    "    # fourcc = int(cap.get(cv2.CAP_PROP_FOURCC))\n",
    "    # fourcc = cv2.VideoWriter_fourcc(*'XVID')\n",
    "    fourcc = cv2.VideoWriter_fourcc(*'mp4v')\n",
    "    fps = cap.get(cv2.CAP_PROP_FPS)\n",
    "\n",
    "    out = cv2.VideoWriter(output_path, fourcc, fps, (int(frame_size[0]), int(frame_size[1])))\n",
    "    \n",
    "    # 进度条绑定视频总帧数\n",
    "    with tqdm(total=frame_count-1) as pbar:\n",
    "        try:\n",
    "            while(cap.isOpened()):\n",
    "                success, frame = cap.read()\n",
    "                if not success:\n",
    "                    break\n",
    "\n",
    "                # 处理帧\n",
    "                # frame_path = './temp_frame.png'\n",
    "                # cv2.imwrite(frame_path, frame)\n",
    "                try:\n",
    "                    frame = process_frame(frame)\n",
    "                except:\n",
    "                    print('报错！', error)\n",
    "                    pass\n",
    "                \n",
    "                if success == True:\n",
    "                    # cv2.imshow('Video Processing', frame)\n",
    "                    out.write(frame)\n",
    "\n",
    "                    # 进度条更新一帧\n",
    "                    pbar.update(1)\n",
    "\n",
    "                # if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "                    # break\n",
    "        except:\n",
    "            print('中途中断')\n",
    "            pass\n",
    "\n",
    "    cv2.destroyAllWindows()\n",
    "    out.release()\n",
    "    cap.release()\n",
    "    print('视频已保存', output_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fa6f2d73",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "视频开始处理 fruits_video.mp4\n",
      "视频总帧数为 212\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 211/211 [01:01<00:00,  3.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "视频已保存 out-fruits_video.mp4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "remi.server.ws   ERROR    Error managing incoming websocket message\n",
      "Traceback (most recent call last):\n",
      "  File \"/usr/local/lib/python3.7/dist-packages/remi/server.py\", line 166, in read_next_message\n",
      "    length = self.bytetonum(length[1]) & 127\n",
      "IndexError: index out of range\n"
     ]
    }
   ],
   "source": [
    "generate_video(input_path='fruits_video.mp4')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7acfb292",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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